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Piotr Koniusz
Piotr Koniusz
Other namesPeter Koniusz
Principal Res. Scientist (Data61❤CSIRO). Hon. Associate Professor (level D) (ANU).
Verified email at anu.edu.au - Homepage
Title
Cited by
Cited by
Year
Deep stacked hierarchical multi-patch network for image deblurring
H Zhang, Y Dai, H Li, P Koniusz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
5762019
Convolutional Kernel Networks
J Mairal, P Koniusz, Z Harchaoui, C Schmid
Advances Neural Information Processing Systems (NIPS), 2014
4782014
Adaptive Subspaces for Few-Shot Learning
C Simon, P Koniusz, R Nock, M Harandi
Computer Vision and Pattern Recognition (CVPR), 2020
4482020
Simple Spectral Graph Convolution
H Zhu, P Koniusz
International Conference on Learning Representations (ICLR), 2021
2812021
Few-Shot Learning via Saliency-guided Hallucination of Samples
H Zhang, J Zhang, P Koniusz
IEEE Computer Vision and Pattern Recognition (CVPR), 2019
2562019
A Comparative Review of Recent Kinect-basedAction Recognition Algorithms
L Wang, DQ Huynh, P Koniusz
IEEE Transactions on Image Processing (TIP), 2019
2462019
Few-shot Action Recognition with Permutation-invariant Attention
H Zhang, L Zhang, X Qi, H Li, PHS Torr, P Koniusz
European Conference on Computer Vision (ECCV), 2020
1702020
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons
P Koniusz, A Cherian, F Porikli
European Conference on Computer Vision, 2016
1522016
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors
P Koniusz, Y Tas, F Porikli
Computer Vision and Pattern Recognition, 2017
1442017
Higher-order occurrence pooling for bags-of-words: Visual concept detection
P Koniusz, F Yan, PH Gosselin, K Mikolajczyk
IEEE transactions on pattern analysis and machine intelligence 39 (2), 313-326, 2017
1302017
Zero-Shot Kernel Learning
H Zhang, P Koniusz
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 7670-7679, 2018
1232018
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs
L Wang, P Koniusz, DQ Huynh
International Conference on Computer Vision (ICCV), 2019
1122019
On Learning the Geodesic Path for Incremental Learning
C Simon, P Koniusz, M Harandi
Computer Vision and Pattern Recognition (CVPR), 2021
1072021
Comparison of mid-level feature coding approaches and pooling strategies in visual concept detection
P Koniusz, F Yan, K Mikolajczyk
Computer vision and image understanding 117 (5), 479-492, 2013
1032013
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Y Zhang, H Zhu, Z Song, P Koniusz, I King
International Conference on Knowledge Discovery and Data Mining (KDD 2022), 2022
842022
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
H Zhang, P Koniusz, S Jian, H Li, PHS Torr
Computer Vision and Pattern Recognition (CVPR), 2021
662021
Power Normalizing Second-order Similarity Network for Few-shot Learning
H Zhang, P Koniusz
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
652019
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
P Koniusz, H Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
622020
Tensor Representations for Action Recognition
P Koniusz, L Wang, A Cherian
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
622020
On modulating the gradient for meta-learning
C Simon, P Koniusz, R Nock, M Harandi
Proceedings of the European Conference on Computer Vision (ECCV), 2020
602020
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